"Drugs in Lactation" Analysis Consortium (DLAC)

T

The Hospital for Sick Children

Status

Terminated

Conditions

Lactation

Treatments

Other: No intervention

Study type

Observational

Funder types

Other

Identifiers

NCT02755194
1000036538

Details and patient eligibility

About

Some medications taken by the breastfeeding women are excreted into milk, posing a potential risk of toxicity to the infant. The first line of evidence required for toxicity risk assessment is prediction of drug levels in milk. However, pharmacokinetic (PK) information of drug excretion into milk is largely lacking, or limited to data from case reports. This makes it difficult to provide population-level prediction of drug levels in milk. The lack of data on this topic jeopardizes not only maternal adherence to drug therapy during breastfeeding but also establishment of breastfeeding, even if the drug is considered safe during nursing. Clearly, this clinical problem in drug safety is an important women's health issue, affecting both mother and infant. "Drugs in Lactation" Analysis Consortium (DLAC) is a "drug-in-milk" monitoring network, which is designed as a platform for efficient collection of patient milk samples in a real world setting to generate population predictions of drug excretion levels into human milk.

Full description

OVERARCHING GOAL OF DLAC: To establish a post-marketing "drug-in-milk" monitoring system for nursing women who are prescribed and using medications. Drugs in Lactation Analysis Consortium (DLAC) will provide risk assessment data and tools for toxicity detection in the form of population estimates and variations of drug levels in mother's milk and infant plasma for several common medications in a real world setting. SPECIFIC OBJECTIVES: To generate data on drug levels in breast milk To develop a population pharmacokinetic model describing drug levels in milk To simulate/predict drug levels in milk in a population, based on the pop PK model To develop a physiologically-based pharmacokinetic (PBPK) model describing drug levels in infant serum To screen the breastfed infants of mothers on the study drugs for general health condition (medical issues, developmental milestones) SCOPE AND RATIONALE: Information on the extent of drug excretion into mother's milk is lacking, mainly due to the following two reasons: 1) nursing women are excluded from drug trials; 2) ethical and practical difficulties in conducting intensive-sampling PK studies in the breastfeeding mothers. Even if data exist, they are based on small numbers of patients, and it is difficult to translate the information into population estimates of drug levels in milk. DLAC is developed as a novel drug safety network using population PK (popPK) modeling approach, which allows population-level PK parameter estimation, modeling and simulation based on a scheme of sparse sampling per individual, systematically collected from a large number of nursing women on medication in real world setting. This approach will provide population risk estimates as probability distribution of reaching certain drug level in milk and plasma. Equipped with a versatile drug analysis core and a popPK modeling and simulation unit, DLAC will be able to generate PK estimates of a population in the context of breastfeeding.

Enrollment

68 patients

Sex

Female

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

Age over 18 years old Taking one or more drugs of interest of the study, at steady state

Exclusion criteria

Being unable to communicate in English, Colostrum phase (<1 week postpartum)

Trial design

68 participants in 1 patient group

Breastfeeding women on the study medications
Description:
The study population consists of lactating/breastfeeding women over the age of 18, who are able to communicate in English and are taking one or more of the study drugs (Infliximab, Adalimumab, Golimumab, Certolizumab, Etanercept, Methotrexate, Ezetimibe, Bupropion, Citalopram, Venlafaxine)
Treatment:
Other: No intervention

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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